Genome-wide meta-analysis identifies genetic risk factors and implicates multiple body systems in panic attacks and disorder
Mitchell, B. L.; Skelton, M.; Wang, R.; ter Kuile, A. R.; Murphy, A. E.; Morneau-Vaillancourt, G.; Li, D.; Assary, E.; Hotopf, M.; Hu, J.; Armour, C.; McIntosh, A. M.; Walters, J. T. R.; Lyall, D. M.; Smith, D. J.; Lifelines Cohort Study, ; NIHR BioResource Consortium, ; Kingston, N.; Bradley, J. R.; GLAD Study Authors, ; Kalsi, G.; Lee, S.-H.; Lin, Y.; Vassos, E.; Kakar, S.; Meldrum, L.; Smith, I.; Ventura, G. C.; Olsen, C. M.; Whiteman, D. C.; Medland, S. E.; Lind, P. A.; Byrne, E. M.; Hickie, I. B.; Wray, N. R.; Mach, L.; Noseda, M.; Forstner, A. J.; Snieder, H.; Hartman, C. A.; Martin,
Show abstract
Introductory paragraphPanic attacks, sudden episodes of intense fear accompanied by physical and psychological symptoms, affect approximately 23% of the population1,2. Panic disorder, diagnosed in 2- 4%3, involves recurrent attacks followed by persistent worry about further attacks, leading to functional impairment and avoidance behaviours1,2. We conducted genome-wide association meta-analyses of panic attacks and panic disorder (61,746 and 29,775 cases, respectively, and 105,814 controls), identifying the first genome-wide significant variants for both traits (16 for panic attacks; 7 for panic disorder). Geneset analysis using single-cell RNA sequencing data implicated afferent neurons from the eye, heart, and lung in panic attacks, suggesting a critical role for sensory processing and interoceptive awareness. Further analyses suggested that these associations generalize to other psychiatric disorders. These findings offer novel insights into the biological mechanisms underlying panic, the role of afferent neurons, and may inform the development of more targeted and effective interventions.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genome-wide landscape of RNA-binding protein dysregulation reveals a major impact on psychiatric disorder risk 96%
- Differential Chromatin Architecture and Risk Variants in Deep Layer Excitatory Neurons and Grey Matter Microglia Contribute to Major Depressive Disorder 96%
- Genome-wide analyses identify 30 loci associated with obsessive-compulsive disorder 96%
Similar papers in this journal
- Genetic variants associated with cross-disorder and disorder-specific risk for psychiatric disorders are enriched at epigenetically active sites in peripheral lymphoid cells 95%
- USP18 modulates lupus risk via negative regulation of interferon response 95%
- Whole Genome Sequencing Analysis Of Body Mass Index Identifies Novel African Ancestry-Specific Risk Allele 94%
Similar papers in this journal
- Genetic insights into smoking behaviours in 10,558 men of African ancestry from continental Africa and the UK 94%
- A mesocorticolimbic dopamine gene network moderates the effect of early adversity on the risk for psychiatric and cardio-metabolic comorbidities 94%
- Identification of ultra-rare genetic variants in Pediatric Acute Onset Neuropsychiatric Syndrome (PANS) by exome and whole genome sequencing 93%
Similar papers in this journal
- The genetic and phenotypic correlates of neonatal Complement Component 3 and 4 protein concentrations with a focus on psychiatric and autoimmune disorders 95%
- Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross-cutting genetic liabilities 95%
- eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis 94%
Similar papers in this journal
- Immunological Drivers and Potential Novel Drug Targets for Major Psychiatric, Neurodevelopmental, and Neurodegenerative Conditions 95%
- Comprehensive analyses of RNA-seq and genome-wide data point to enrichment of neuronal cell type subsets in neuropsychiatric disorders 95%
- Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.